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完全可重构相干光矢量矩阵乘法

Fully reconfigurable coherent optical vector-matrix multiplication.

作者信息

Spall James, Guo Xianxin, Barrett Thomas D, Lvovsky A I

出版信息

Opt Lett. 2020 Oct 15;45(20):5752-5755. doi: 10.1364/OL.401675.

Abstract

Optics is a promising platform in which to help realize the next generation of fast, parallel, and energy-efficient computation. We demonstrate a reconfigurable free-space optical multiplier that is capable of over 3000 computations in parallel, using spatial light modulators with a pixel resolution of only 340×340. This enables vector-matrix multiplication and parallel vector-vector multiplication with vector size of up to 56. Our design is, to the best of our knowledge, the first to simultaneously support optical implementation of reconfigurable, large-sized, and real-valued linear algebraic operations. Such an optical multiplier can serve as a building block of special-purpose optical processors such as optical neural networks and optical Ising machines.

摘要

光学是一个很有前景的平台,有助于实现下一代快速、并行且节能的计算。我们展示了一种可重构自由空间光学乘法器,它能够使用像素分辨率仅为340×340的空间光调制器并行执行超过3000次计算。这使得能够进行向量 - 矩阵乘法以及向量大小高达56的并行向量 - 向量乘法。据我们所知,我们的设计是首个同时支持可重构、大尺寸和实值线性代数运算的光学实现的设计。这样的光学乘法器可作为诸如光学神经网络和光学伊辛机等专用光学处理器的构建模块。

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